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Method for detecting maximally stable extremal region of image based on scale space

A technology of extreme value area and scale space, applied in image analysis, image data processing, instruments, etc., can solve the problem of poor image blur change invariance and so on

Inactive Publication Date: 2013-09-18
ZHEJIANG UNIV
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Problems solved by technology

[0004] In order to overcome the disadvantage that the existing most stable extremum region MSER has poor invariance to image blur changes, the present invention proposes an image scale-space based MSER by extending MSER in a single scale space to a multi-scale space. Stable extreme value region detection method, thus improving the invariance of regional features

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  • Method for detecting maximally stable extremal region of image based on scale space
  • Method for detecting maximally stable extremal region of image based on scale space
  • Method for detecting maximally stable extremal region of image based on scale space

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[0039] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0040] On the contrary, the invention covers any alternatives, modifications, equivalent methods and schemes within the spirit and scope of the invention as defined by the claims. Further, in order to make the public have a better understanding of the present invention, some specific details are described in detail in the detailed description of the present invention below. The present invention can be fully understood by those skilled in the art without the description of these detailed parts.

[0041] refer to figure 1 , shows a flow chart of the steps of the method for detecting the most stabl...

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Abstract

The embodiment of the invention discloses a method for detecting a maximally stable extremal region of an image based on a scale space, comprising the following steps of S10, structuring the scale space of the image by adopting Gaussian kernel; S20, carrying out maximally stable extremal region detection on all scale-level images to obtain candidate region characteristics; S30, defining a scale selection function for each region characteristic, and screening the candidate region characteristics by judging whether the scale selection functions reach a local maximum value or not; and S40, removing repeated region characteristics of which the locations and the areas are similar to obtain final region characteristics with good invariance. According to the method for detecting the maximally stable extremal region of the image based on the scale space, an MSER (Maximally Stable Extremal Region) in the single scale space is expanded into a multiscale space, so that the invariance of the region characteristics is improved, and the defect that the invariance of the MSER in image blur variation is poorer is overcome.

Description

technical field [0001] The invention belongs to a method for detecting local invariant features of an image, in particular to a method for detecting the most stable extremum region of an image based on a scale space. Background technique [0002] Image local invariant features have become a research hotspot in the field of image processing and computer vision in recent years. After artificial intelligence and neural networks, it has once again ignited people's enthusiasm for machine intelligence research. The core of image local invariant feature research is "invariance", that is, when recognizing an object, no matter how far or near the object is, and whether the object is rotated or observed from different angles, it can Correctly identify the object. Common invariances include perspective invariance, scale invariance, rotation invariance, illumination invariance, affine invariance, etc., but so far there is no local feature that has all the above invariances, and general...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 于慧敏潘能杰
Owner ZHEJIANG UNIV
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